Estimation of Aircraft Dynamic States and Instrument Systematic Errors from Flight Test Measurements Using the Carlson Square Root Formulation of the Kalman Filter

Estimation of Aircraft Dynamic States and Instrument Systematic Errors from Flight Test Measurements Using the Carlson Square Root Formulation of the Kalman Filter
Author :
Publisher :
Total Pages : 24
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ISBN-10 : 0642888698
ISBN-13 : 9780642888693
Rating : 4/5 (693 Downloads)

Book Synopsis Estimation of Aircraft Dynamic States and Instrument Systematic Errors from Flight Test Measurements Using the Carlson Square Root Formulation of the Kalman Filter by : C. A. Martin

Download or read book Estimation of Aircraft Dynamic States and Instrument Systematic Errors from Flight Test Measurements Using the Carlson Square Root Formulation of the Kalman Filter written by C. A. Martin and published by . This book was released on 1980 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of a procedure for estimating aircraft dynamic states and instrument systematic errors from flight test measurements is described. The method has particular application in non-steady performance estimation for reconstructing aircraft flight path and in the estimation of aerodynamic characteristics using the 'equation error' parameter estimation method. The state estimator can be extended to determine systematic measurement errors in the recorded data, giving a set of data which is compatible according to the kinematic equations which relate the measurements. The effectiveness of the procedures cannot be specified in a general way, since the results depend upon the representation of the input and output noise characteristics and on the choice of initial conditions for a given problem. This note has been written to allow users to apply the state estimation procedure to practical problems. A description of the Carlson Square Root Filter and its application to the kinematic equations of aircraft motion is given. The documentation of the computer program for state estimation is also presented. (Author).


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